Intern, Computational Biologist
Remote, MA, United States
Biogen
Biogen is a leading global biotechnology company that pioneers science and drives innovations for complex and devastating diseases. Biogen is advancing a pipeline of potential therapies across neurology, neuropsychiatry, specialized immunology...Company Description
At Biogen, our mission is clear - we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.
We at Biogen are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients who we serve. We are focused on strengthening our foundation to advance our overall Diversity, Equity and Inclusion (DE&I) strategy and, most importantly, ensure all our employees feel included.
As an intern or co-op at Biogen, you can expect to be placed on a real project, under the guidance of experienced professionals and subject matter experts who are invested in your career and academic growth. We also ensure that you have plenty of opportunities to build your network, learn more about our organization through weekly lunch and learns led by leaders from across the company, and join us for several fun events.
Job Description
This application is for a 3-month student role from June - August 2023. Resume review begins in January 2023.
In Translational Analytics team, we use human molecular data to identify target genes for neurodegenerative diseases and to identify conserved pathways and genes between model system and human. Toward this end, single-nucleus RNA-seq data have been invaluable resource, and Biogen has been pioneering in generation and analysis of such data from postmortem human patient samples and mouse and iPSC-derived model systems. However, the framework to characterize and unify the data from multiple different data sources are still a challenge, while it is a prerequisite for larger-scale comparative analyses.
Position Description
As the intern, you will integrate single-nucleus RNA-seq data from multiple internal and external sources originating from model organisms as well as human, characterize common cell types across data sets, and confer unified nomenclature according to Cell Ontology. You will also compare transcriptomic similarities and differences across different diseases per cell type. You will join an experienced team of data scientists and have opportunities to closely collaborate with the broader Biogen R&D community.
Qualifications
To participate in the Biogen Internship Program, students must meet the following eligibility criteria:
Legal authorization to work in the U.S.
At least 18 years of age prior to the scheduled start date
Be currently enrolled in an accredited college or university
Specific:
Experience in analyzing single-cell RNA-seq data
Programming in R, Python, and using HPC.
Communication skills - presentation, verbal, and writing.
Education
PhD candidate in either computational biology, bioinformatics, systems biology, computer science or in related fields
Additional Information
All your information will be kept confidential according to EEO guidelines.
Tags: Bioinformatics Biology Computer Science HPC PhD Python R R&D
Perks/benefits: Team events
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